learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 150

Training results

Training Loss	Epoch	Step	Validation Loss	Qwk	Mse	Rmse
No log	1.0	4	7.6334	0.0	7.6334	2.7629
No log	2.0	8	5.8734	0.0215	5.8734	2.4235
No log	3.0	12	4.2125	0.0039	4.2125	2.0524
No log	4.0	16	2.6158	0.0023	2.6158	1.6174
No log	5.0	20	1.5646	0.0316	1.5646	1.2509
No log	6.0	24	1.0472	0.0316	1.0472	1.0233
No log	7.0	28	1.1441	0.0316	1.1441	1.0696
No log	8.0	32	0.9075	0.0875	0.9075	0.9526
No log	9.0	36	1.5049	0.1106	1.5049	1.2267
No log	10.0	40	0.6595	0.3544	0.6595	0.8121
No log	11.0	44	1.8815	0.1569	1.8815	1.3717
No log	12.0	48	0.7514	0.3817	0.7514	0.8668
No log	13.0	52	0.6875	0.3701	0.6875	0.8291
No log	14.0	56	0.6212	0.4320	0.6212	0.7882
No log	15.0	60	0.6968	0.4299	0.6968	0.8347
No log	16.0	64	0.6822	0.3411	0.6822	0.8259
No log	17.0	68	0.7620	0.3381	0.7620	0.8729
No log	18.0	72	0.7366	0.3735	0.7366	0.8583
No log	19.0	76	0.8269	0.3442	0.8269	0.9093
No log	20.0	80	0.8898	0.3266	0.8898	0.9433
No log	21.0	84	0.9410	0.3467	0.9410	0.9700
No log	22.0	88	0.8364	0.3800	0.8364	0.9145
No log	23.0	92	1.1627	0.2682	1.1627	1.0783
No log	24.0	96	0.7458	0.3705	0.7458	0.8636
No log	25.0	100	1.0385	0.3157	1.0385	1.0191
No log	26.0	104	0.7993	0.4405	0.7993	0.8940
No log	27.0	108	0.8174	0.3992	0.8174	0.9041
No log	28.0	112	0.8510	0.3264	0.8510	0.9225
No log	29.0	116	0.8160	0.3347	0.8160	0.9033
No log	30.0	120	0.7941	0.3719	0.7941	0.8911
No log	31.0	124	1.1980	0.2827	1.1980	1.0945
No log	32.0	128	0.7749	0.4016	0.7749	0.8803
No log	33.0	132	0.9693	0.2823	0.9693	0.9845
No log	34.0	136	0.8886	0.2690	0.8886	0.9426
No log	35.0	140	0.9560	0.3068	0.9560	0.9778
No log	36.0	144	0.9755	0.3077	0.9755	0.9877
No log	37.0	148	0.7572	0.3662	0.7572	0.8702
No log	38.0	152	0.7651	0.3508	0.7651	0.8747
No log	39.0	156	0.7687	0.4074	0.7687	0.8768
No log	40.0	160	0.8198	0.3960	0.8198	0.9054
No log	41.0	164	0.8569	0.3533	0.8569	0.9257

Framework versions

Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0

genki10/Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold0

Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold0

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

genki10/
Trial3BERT_AugV8_k5_task1_organization_sp020_lw030_fold0